Algorithms as fetish: Faith and possibility in algorithmic work

Big Data and Society 5 (1) (2018)
  Copy   BIBTEX

Abstract

Algorithms are powerful because we invest in them the power to do things. With such promise, they can transform the ordinary, say snapshots along a robotic vacuum cleaner’s route, into something much more, such as a clean home. Echoing David Graeber’s revision of fetishism, we argue that this easy slip from technical capabilities to broader claims betrays not the “magic” of algorithms but rather the dynamics of their exchange. Fetishes are not indicators of false thinking, but social contracts in material form. They mediate emerging distributions of power often too nascent, too slippery or too disconcerting to directly acknowledge. Drawing primarily on 2016 ethnographic research with computer vision professionals, we show how faith in what algorithms can do shapes the social encounters and exchanges of their production. By analyzing algorithms through the lens of fetishism, we can see the social and economic investment in some people’s labor over others. We also see everyday opportunities for social creativity and change. We conclude that what is problematic about algorithms is not their fetishization but instead their stabilization into full-fledged gods and demons – the more deserving objects of critique.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,219

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Democratizing Algorithmic Fairness.Pak-Hang Wong - 2020 - Philosophy and Technology 33 (2):225-244.
On logic of complex algorithms.Helena Rasiowa - 1981 - Studia Logica 40 (3):289 - 310.
Ethical Implications and Accountability of Algorithms.Kirsten Martin - 2018 - Journal of Business Ethics 160 (4):835-850.

Analytics

Added to PP
2020-11-24

Downloads
13 (#978,482)

6 months
7 (#350,235)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Jamie Sherman
Durham University

References found in this work

Introduction. Y. Engeström, R. Miettinen,. & RL. Punamäki.Yrjö Engeström - 1999 - In Yrjö Engeström, Reijo Miettinen & Raija-Leena Punamäki-Gitai (eds.), Perspectives on Activity Theory. Cambridge University Press. pp. 1--16.

Add more references